… As the use of AI and ML technologies is still in its infancy in many countries in the field of
higher education, we are convinced that the results of this work will be of great importance for …

… This section provides a discussion of the studies applying machine learning models to
predict retention or completion rates in higher education and is categorized by major themes. In …

… Machine learning is closely related to areas such as data … to individuals through education,
education is a functional key that … In this study, a prediction system with machine learning has …

… Objectives of this paper are (1) review mental health problem among higher education …
existing machine learning to analyse and predict mental health problem among higher education …

… Recently, machine learning (ML) has evolved and finds its application in higher education
(HE) for … Studies have shown that such an emerging field in educational technology provides …

… , for predicting students’ performance in higher education … machine learning and traditional
multiple regression models. Meanwhile, this study will combine the use of machine learning …

… in Education 4.0, accesibility of smart sensors, wearable devices and self-regulated
learning cyclical process. In Section III description of our AI assisted higher education process. …

… in mental health problems among selected higher education students. This study aims to …
, using machine learning algorithms. The data is collected from students in a higher education …

… and machine learning have the potential to address many of the problems that have
emerged in higher education due the rapid and haphazard transition to online learning brought …

… increase their duration of studies with a high probability of failing their courses would allow
… vector machine (SVM), and neural network construction (NNC) existing machine learning …